In this article, we do an exhaustive time series analysis and forecast of air particulate levels in beijing. We use classical ARIMA tools, ARIMA with multiseasonal dynamic harmonic regression, the prophet algorithm, VAR, TBATS, time series clustering, ANN/nnetar, LSTMs, and bagging/ensemble forecasting methods to forecast an entire year of air quality in beijing